Skip to main content

Table 3 Factors associated with monthly indigenous malaria incidence at the VDC level, January 2013–December 2016, in Kailali, Kanchanpur and Bardiya districts

From: Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study

 

Posterior mean, (95% Crl)

All species

P. vivax

P. falciparum

Fixed effects (IRR)

 Lagged importation ratea

1.02 (1.009, 1.031)

1.025 (1.013, 1.037)

1.011 (0.962, 1.057)

 LST (°C)

1.016 (0.978, 1.049)

1.007 (0.962, 1.05)

0.924 (0.811, 1.074)

 Rainfall (mm)

  < 20

1

  

  20–119

1.117 (0.757, 1.618)

1.064 (0.684, 1.626)

0.124 (0.014, 1.633)

  120–1450

1.334 (0.8, 2.065)

1.145 (0.642, 1.943)

0.198 (0.022, 2.642)

 High population densityb

0.614 (0.399, 0.947)

0.616 (0.398, 0.96)

0.579 (0.293, 1.233)

 Year

  2013

1

  

  2014

0.635 (0.48, 0.838)

0.921 (0.674, 1.256)

0.072 (0.03, 0.156)

  2015

0.442 (0.305, 0.64)

0.609 (0.408, 0.91)

0.07 (0.024, 0.174)

  2016

0.636 (0.436, 0.924)

0.858 (0.568, 1.289)

0.09 (0.028, 0.241)

 District

  Kailali

   

  Kanchanpur

0.475 (0.308, 0.736)

0.603 (0.389, 0.94)

0.024 (0.006, 0.078)

  Bardiya

0.768 (0.486, 1.205)

1.035 (0.65, 1.634)

0 (0, 887.532)

Random effects (precision)

 Seasonal random effect

2.949 (0.052, 17.118)

1.017 (0.016, 6.351)

0.009 (0, 0.049)

 VDC effect unstructured

2.25 (1.464, 3.329)

1.972 (1.295, 2.905)

3.527 (0.887, 10.115)

 VDC effect structured

3013.549 (745.865, 7326.227)

2931.545 (708.639, 7408.301)

3415.982 (835.229, 9202.779)

  1. Crl, Bayesian credible interval; C, celsius; mm, millimeter; IRR, incidence rate ratio; LST, land surface temperature; VDC, village development committee; DIC, deviance information criteria; CPO, conditional predictive ordinate
  2. aMonthly cases per 1000 population, b defined as the top quartile